{"id":"W2782186352","doi":"10.2514/6.2018-1848","title":"Transition Control of a Tilt-Rotor VTOL UAV","year":2018,"lang":"en","type":"article","venue":"2018 AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tilt (camera); Rotor (electric); Transition (genetics); Computer science; Control (management); Control theory (sociology); Aerospace engineering; Engineering; Artificial intelligence; Mechanical engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003611047,0.0003020313,0.0005762271,0.00009760624,0.0001184987,0.00005798188,0.0002283316,0.0001715583,0.00008795086],"category_scores_gemma":[0.00005709954,0.0002935255,0.00009479428,0.0001686845,0.0003406983,0.0003323729,0.000009701532,0.0001544821,0.00007107081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004965979,"about_ca_system_score_gemma":0.00009227473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006563721,"about_ca_topic_score_gemma":0.00004074372,"domain_scores_codex":[0.9982516,0.0001029362,0.0006667238,0.000322636,0.0003009911,0.0003551369],"domain_scores_gemma":[0.9984164,0.0001275394,0.0001826832,0.0003552685,0.0007668004,0.0001513523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002216278,0.0003407148,0.01180848,0.001474534,0.001715424,0.00003975595,0.00791627,0.001885943,0.8794454,0.03145007,0.008035451,0.05367173],"study_design_scores_gemma":[0.01658919,0.001103327,0.02705214,0.001065676,0.0003344688,0.0000510901,0.0004072449,0.9051718,0.008976779,0.001919701,0.03612785,0.001200766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1813067,0.001858712,0.8093578,0.000309513,0.0007918922,0.001335075,0.000371305,0.0003478703,0.004321133],"genre_scores_gemma":[0.9982437,0.00003735162,0.0005055262,0.0001641117,0.0007093097,0.0001232189,0.00002000776,0.0000397407,0.0001569637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9032858,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021749082262284,"score_gpt":0.2176555619690606,"score_spread":0.2074380711464378,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}